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Neural Networks : the Official Journal of the International Neural Network Society|December 3, 2022
Accelerating reinforcement learning with case-based model-assisted experience augmentation for process controlRunze Lin, Junghui Chen, Lei Xie, et al.
IEEE Transactions on Neural Networks and Learning Systems|April 4, 2023
Event-Triggered Constrained Optimal Control for Organic Rankine Cycle Systems via Safe Reinforcement LearningLingzhi Zhang, Runze Lin, Lei Xie, et al.
ISA Transactions|June 25, 2025
Data-driven parallel linear controllers for reference tracking in nonlinear systemsYao Shi, José M Maestre, Lei Xie, et al.
ACS Omega|August 15, 2022
Quality-Relevant Process Monitoring with Concurrent Locality-Preserving Dynamic Latent Variable MethodQi Zhang, Shan Lu, Lei Xie, et al.
ISA Transactions|August 31, 2019
An improved mixture robust probabilistic linear discriminant analyzer for fault classificationYi Liu, Jiusun Zeng, Lei Xie, et al.
IEEE Transactions on Neural Networks and Learning Systems|October 31, 2023
Optimal Control for Constrained Discrete-Time Nonlinear Systems Based on Safe Reinforcement LearningLingzhi Zhang, Lei Xie, Yi Jiang, et al.
ISA Transactions|November 7, 2018
Fault detection and diagnosis based on particle filters combined with interactive multiple-model estimation in dynamic process systemsZhengjiang Zhang, Junghui Chen
IEEE Transactions on Cybernetics|May 24, 2022
SVD-Based Robust Distributed MPC for Tracking Systems Coupled in Dynamics With Global ConstraintsYao Shi, Zhiming Zhang, Xiaorong Hu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|August 14, 2022
Using source data to aid and build variational state-space autoencoders with sparse target data for process monitoringYi Shan Lee, Junghui Chen
ISA Transactions|May 31, 2020
Particle filter combined with data reconciliation for nonlinear state estimation with unknown initial conditions in nonlinear dynamic process systemsZhihui Hong, Luping Xu, Junghui Chen
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